-
1
-
-
77953733302
-
On the many ways software engineering can benefit from knowledge engineering
-
Italy
-
Briand, L. C. (2002). On the many ways Software Engineering can benefit from Knowledge Engineering. Proc. 14th SEKE, Italy, (pp. 3-6).
-
(2002)
Proc. 14th SEKE
, pp. 3-6
-
-
Briand, L.C.1
-
2
-
-
29944432254
-
-
In SERP '05, Las Vegas, NV
-
Cheon, Y., Kim, M. Y., & Perumandla, A. (2005). A Complete Automation of Unit Testing for Java Programs. In SERP '05, Las Vegas, NV.
-
(2005)
A Complete Automation of Unit Testing for Java Programs
-
-
Cheon, Y.1
Kim, M.Y.2
Perumandla, A.3
-
3
-
-
24944445404
-
-
Usage Model by ACO, LNCS
-
Doerner, K., & Gutjahr, W. J. (2003). Extracting Test Sequences from a Markov Software Usage Model by ACO (. LNCS, 2724, 2465-2476.
-
(2003)
Extracting Test Sequences from a Markov Software
, vol.2724
, pp. 2465-2476
-
-
Doerner, K.1
Gutjahr, W.J.2
-
4
-
-
33846295159
-
The ant colony optimization metaheuristic: Algorithms, applications, and advances
-
pp, New York: Springer
-
Dorigo, M. (2003). The Ant Colony Optimization Metaheuristic: Algorithms, Applications, and Advances. International Series in Operations Research & Management Science (Vol. 57, pp. 250-285). New York: Springer.
-
(2003)
International Series in Operations Research & Management Science
, vol.57
, pp. 250-285
-
-
Dorigo, M.1
-
6
-
-
1842611240
-
Ant colony optimization
-
New york: Cambridge university press
-
Dorigoa, M., & Stutzle, T. (2005). Ant colony optimization. [New York: Cambridge University Press.]. The Knowledge Engineering Review, 20, 92-93.
-
(2005)
The Knowledge Engineering Review
, vol.20
, pp. 92-93
-
-
Dorigoa, M.1
Stutzle, T.2
-
7
-
-
47849084039
-
-
IN ICSEA 2007, France
-
Doungsa-ard, C., Dahal, K. P., Alamgir Hossain, M., & Suwannasart, T. (2007). Test Data Generation from UML State Machine Diagrams using Gas. IN ICSEA 2007, France, (p. 47).
-
(2007)
Test Data Generation from UML State Machine Diagrams Using Gas
-
-
Doungsa-Ard, C.1
Dahal, K.P.2
Alamgir Hossain, M.3
Suwannasart, T.4
-
9
-
-
34748859982
-
The current state and future of search based software engineering
-
pp, Washington, DC: IEEE Computer Society press
-
Harman, M. (2007). The Current State and Future of Search Based Software Engineering. In International Conference on Software Engineering: Future of Software Engineering, (pp. 342-357). Washington, DC: IEEE Computer Society press.
-
(2007)
In International Conference on Software Engineering: Future of Software Engineering
, pp. 342-357
-
-
Harman, M.1
-
10
-
-
84899399232
-
-
http://ocw.kfupm.edu.sa/user/SWE41501/State-Transition%20Testing%20Example.ppt
-
-
-
-
12
-
-
33947415414
-
An ant colony optimization approach to test sequence generation for state based software testing
-
(QSIC'05), (pp
-
Li, H., & Lam, C. P. (2005). An Ant Colony Optimization Approach to Test Sequence Generation for State based Software Testing. In Proceedings of the Fifth International Conference on Quality Software (QSIC'05), (pp. 255 - 264).
-
(2005)
In Proceedings of the Fifth International Conference on Quality Software
, pp. 255-264
-
-
Li, H.1
Lam, C.P.2
-
13
-
-
33751234189
-
Automated testing in software engineering: Using ant colony and self-regulated swarms
-
Montreal, Canada, pp
-
Mahanti, P. K., & Banerjee, S. (2006). Automated testing in software engineering: using ant colony and self-regulated swarms. In Proceedings of the 17th IASTED international conference on Modeling and simulation table of contents, Montreal, Canada, (pp. 443 - 448).
-
(2006)
In Proceedings of the 17th IASTED International Conference on Modeling and Simulation Table of Contents
, pp. 443-448
-
-
Mahanti, P.K.1
Banerjee, S.2
-
15
-
-
84899311665
-
-
New Delhi, India: India Pearson Education
-
Mathur, A. P. (2007). New Delhi, India: India Pearson Education.
-
(2007)
-
-
Mathur, A.P.1
-
16
-
-
62449169589
-
A novel approach for scenario-based test case generation
-
Bhubaneswar, India: Foundation of Software Testing
-
Biswal, B. N., et al. (2008). A Novel Approach for Scenario-Based Test Case Generation. In IEEE ICIT conference (1st ed.). Bhubaneswar, India: Foundation of Software Testing.
-
(2008)
IEEE ICIT conference
-
-
Biswal, B.N.1
-
17
-
-
3142725712
-
Search-based software test data generation: A survey
-
McMinn, P. (2004). Search-Based Software Test Data Generation: A Survey. Software Testing. Verification and Reliability, 14(3), 212-223.
-
(2004)
Software Testing. Verification and Reliability
, vol.14
, Issue.3
, pp. 212-223
-
-
McMinn, P.1
-
18
-
-
35248831654
-
The state problem for evolutionary testing
-
vol, pp
-
McMinn, P., & Holcomb, M. (2003), The State Problem for Evolutionary Testing, In Proceedings of GECCO, (LNCS vol. 2724, pp.2488-2500).
-
(2003)
In Proceedings of GECCO, (LNCS
, vol.2724
, pp. 2488-2500
-
-
McMinn, P.1
Holcomb, M.2
-
19
-
-
0035678269
-
Generating software test data by evolution
-
doi:10.1109/32.988709
-
Michael, C., McGraw, G., & Schatz, M. A. (2001). Generating software test data by evolution. IEEE Transactions on Software Engineering, 27(12), 1085-1110. doi:10.1109/32.988709
-
(2001)
IEEE Transactions on Software Engineering
, vol.27
, Issue.12
, pp. 1085-1110
-
-
Michael, C.1
McGraw, G.2
Schatz, M.A.3
-
20
-
-
41149085669
-
Intelligent ester - software test sequence optimization using graph based intelligent search agent
-
Vol, pp
-
Mohan, V., & Jeya, M. (2007). Intelligent ester - Software Test Sequence Optimization Using Graph Based Intelligent Search Agent. In Proceedings of the International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007), (Vol. 01, pp. 22-27).
-
(2007)
In Proceedings of the International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007)
, vol.1
, pp. 22-27
-
-
Mohan, V.1
Jeya, M.2
-
21
-
-
67650421718
-
Intelligent ester -test sequence optimization framework using multi-agents
-
Mohan, V. & Jeya, M. (2008). Intelligent ester -Test Sequence Optimization framework using Multi-Agents. Journal of computers, 3(6).
-
(2008)
Journal of Computers
, vol.3
, Issue.6
-
-
Mohan, V.1
Jeya, M.2
-
26
-
-
0033343346
-
Test-data generation using genetic algorithms
-
doi:10.1002/(SICI)1099-1689(199912)9:4<263::AIDSTVR190>3.0.CO;2-Y
-
Pargas, R., Harrold, M., & Peck, R. (1999). Test-data generation using genetic algorithms. Software Testing. Verification and Reliability, 9(4), 263-282. doi:10.1002/(SICI)1099-1689(199912)9:4<263::AIDSTVR190>3.0.CO;2-Y
-
(1999)
Software Testing. Verification and Reliability
, vol.9
, Issue.4
, pp. 263-282
-
-
Pargas, R.1
Harrold, M.2
Peck, R.3
-
29
-
-
62449224812
-
Automated scenario generation based on UML activity diagrams
-
Bhubaneswar, India, (pp
-
Sapna, P. G., & Mohanty, H. (2008). Automated Scenario Generation based on UML Activity Diagrams. In International Conference on Information Technology(ICIT), Bhubaneswar, India, (pp 209-214).
-
(2008)
In International Conference on Information Technology(ICIT)
, pp. 209-214
-
-
Sapna, P.G.1
Mohanty, H.2
-
30
-
-
0003885423
-
-
7th ed., New Delhi, India, Pearson Education
-
Somerville, I. (2005). Software Engineering (7th ed.). New Delhi, India: Pearson Education.
-
(2005)
Software Engineering
-
-
Somerville, I.1
-
31
-
-
65949083098
-
An ant colony optimization approach to test sequence generation for control flow based software testing
-
New York: Springer Verlag
-
Srivastava, P. R. & Kumar rai, V. (2009). An Ant Colony Optimization Approach to Test Sequence Generation for Control Flow based Software Testing. Information System, Technology and Management, Communication in Computer and Information Science Series(CCIS), (Vol 31, pp. 345-346). New York: Springer Verlag.
-
(2009)
Information System, Technology and Management, Communication in Computer and Information Science Series(CCIS)
, vol.31
, pp. 345-346
-
-
Srivastava, P.R.1
Kumar rai, V.2
-
34
-
-
78049364042
-
Use of genetic algorithm in generation of feasible test data
-
Srivastava, P. R., et al. (2009). Use of Genetic Algorithm in Generation of Feasible Test Data. ACM SIGSOFT Software Engineering Notes, 34(2).
-
(2009)
ACM SIGSOFT Software Engineering Notes
, vol.34
, Issue.2
-
-
Srivastava, P.R.1
-
36
-
-
33750279074
-
The state problem for test generation in simulink
-
WA
-
Zhan, Y., & Clark, J. A. (2006). The State Problem for Test Generation in Simulink. In Proceedings of the 8th annual conference on Genetic and evolutionary computation, Seattle, WA, (pp. 1941 - 1948).
-
(2006)
In Proceedings of the 8th Annual Conference on Genetic and Evolutionary Computation, Seattle
, pp. 1941-1948
-
-
Zhan, Y.1
Clark, J.A.2
|